Bristol Myers Squibb
Bristol Myers Squibb is a leading global biopharma company focused on discovering, developing and delivering innovative medicines for patients with serious diseases in areas including oncology, hematology, immunology, cardiovascular, fibrosis and neuroscience. Our employees work every day to transform patients’ lives through science.

Brown University, School of Public Health, Department of Biostatistics
The Department of Biostatistics, within the School of Public Health at Brown University, offers both ScM and PhD programs in Biostatistics, as well as an undergraduate concentration. The department is the home of the Center for Statistical Sciences at Brown University. The mission of the Department of Biostatistics is to conduct fundamental research that generates new discoveries in theory and methods of statistics and data science, to provide expertise and leadership and to promote interdisciplinary research in domain areas related to human health and the life sciences, and to develop future researchers and professionals in the field of biostatistics.

Drexel University Dornsife School of Public Health, Department of Epidemiology and Biostatistics
The Dornsife School of Public Health at Drexel University was founded on the principle of health as a human right and the recognition of the importance of social justice as a means to achieve health for all.

Dornsife ranks as the #1 school of public health in Philadelphia and in the top 15% in the nation according to U.S. News & World Report's 2021 rankings of the nation’s best graduate schools. The school's academic programs are fully accredited by the Council on Education for Public Health (CEPH).

The Department of Epidemiology and Biostatistics applies, develops, and teaches the skills needed to understand the determinants of disease and improve health. We teach students the descriptive and analytic approaches (epidemiology) needed to investigate the complex causes of major public health problems and to develop effective strategies to prevent them. The biostatistics program centers on the development and application of theory and methods in the collection, analysis, and interpretation of data used in public health and other biomedical sciences.

Eli Lilly & Company
Lilly is a global healthcare leader that unites caring with discovery to make life better for people around the world. We were founded more than a century ago by a man committed to creating high-quality medicines that meet real needs, and today we remain true to that mission in all our work. Across the globe, Lilly employees work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to communities through philanthropy and volunteerism. To learn more about Lilly, please visit us at www.lilly.com and http://newsroom.lilly.com/social-channels.

Emory University, Rollins School of Public Health

The EMMES Company
The Emmes Company, LLC (Emmes) is a global, full-service Clinical Research Organization dedicated to excellence in supporting the advancement of public health and biopharmaceutical innovation. We believe in the power of truth, so much so that we named our company Emmes, which means truth. Through decades of experience we have learned that collaborative relationships thrive and human health benefits when truth is our compass.

GSK
GSK is a science-led global healthcare company that researches, develops and manufactures innovative medicines, vaccines and consumer healthcare products. Our goal is to be one of the world’s most innovative, best performing and trusted healthcare companies. Our biostatisticians, programmers and data scientists are transforming R&D decision-making from expert gut feel to one anchored in quantitative thinking and statistical analysis, thus enabling scientists to make data-driven choices, maximizing success and delivering more value to our patients.

Johnson & Johnson
At Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 135 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s largest and most broadly based healthcare company, we are committed to using our reach and size for good. We strive to improve access and affordability, create healthier communities, and put a healthy mind, body and environment within reach of everyone, everywhere. Every day, our more than 140,000 employees across the world are blending heart, science and ingenuity to profoundly change the trajectory of health for humanity.

Mayo Clinic
Mayo Clinic, Division of Clinical Trials and Biostatistics
The Division of Clinical Trials and Biostatistics is part of the Department of Quantitative Health Sciences at Mayo Clinic. The division is comprised of 25 Ph.D. statisticians, 74 biostatisticians, and 120 statistical programmers, with members based at all 3 Mayo Clinic campuses (Minnesota, Arizona, and Florida). The Division contributes to research areas spanning from the basic sciences to translational research, clinical trials, and population health. Division staff collaborate with investigators within and outside of Mayo Clinic on thousands of active projects, covering a wide range of disciplines including cancer, Alzheimer's disease, respiratory, cardiology, neurology, radiology, surgery, anesthesiology, nursing, laboratory medicine, and pathology.

The Division's unique collaboration model emphasizes the importance of disease area knowledge in the design and analysis of research studies by integrating a dedicated statistical team into research groups. Division staff develop, maintain, and promote state-of-the-art designs and analytical methods expertise and lead multiple initiatives surrounding study designs, data acquisition, data management, analyses, and interpretation of research studies.

Mayo Clinic, Division of Computational Biology
The Division of Computational Biology is part of the Department of Quantitative Health Sciences at Mayo Clinic. The division has 25 faculty members, and a total of almost 100 members with doctoral-, master's- or bachelor's-level training. Members of the Division of Computational Biology lead initiatives for study design and data acquisition, analysis, and interpretation for biomedical discovery and clinical translation. Real-world challenges motivate faculty members and staff to develop, maintain and promote state-of-the-art analytical methods, tools and expertise.

The Division of Computational Biology is an integral part of research throughout Mayo Clinic including key programs and centers such as the Center for Individualized Medicine and Mayo Clinic Comprehensive Cancer Center. The division's researchers also collaborate extensively nationally and internationally and participate in numerous research networks and consortia.

Merck & Co., Inc.
For more than a century, Merck has been inventing for life, bringing forward medicines and vaccines for many of the world’s most challenging diseases. Today, Merck continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

University of Minnesota School of Public Health

The Ohio State University, College of Public Health, Division of Biostatistics
The Division of Biostatistics, College of Public Health, The Ohio State University has training programs leading to an MPH and MS in Biostatistics. Additionally, we offer an Interdisciplinary PhD in Biostatistics in partnership with the Department of Statistics at OSU.

University of Michigan School of Public Health, Department of Biostatistics
The Department of Biostatistics at the University of Michigan School of Public Health is rated the top biostatistics program in the country by the National Academies. We bring biostatistical design and analysis expertise to a wide spectrum of health-related issues. Our faculty, students, and staff work in important and diverse areas of current biostatistical research; including Bayesian methods, causal inference, clinical trials, electronic health records, high dimensional inference, image analysis, longitudinal data analysis, machine learning, methods for missing data, mobile health, personalized prevention and treatment, statistical computing, statistical genetics, genomics and bioinformatics, survey research, and survival and event history analysis.

University of North Carolina, Gillings School of Public Health Biostatistics
The Department of Biostatistics in the Gillings School of Global Public Health of the University of North Carolina at Chapel Hill is consistently rated one of the top biostatistics programs in the country. The Department was established in 1949 with the goals to advance statistical science and, ultimately by its application, to improve human health. To achieve these goals, the Department of Biostatistics offers training and research programs to develop and apply innovative statistical methods to problems of human health and disease, including basic biomedical sciences. The Department’s mission is to forge dramatic advances in health science research that benefit human health in North Carolina, the US, and globally through the development of profound and paradigm-shifting innovations in biostatistical methodology and the thoughtful implementation of biostatistical practice to solve public health problems.

University of Rochester, Department of Biostatistics and Computational Biology
The Department of Biostatistics and Computational Biology, has a long record of excellence in methodological and collaborative research in the education of professionals in and users of statistics. The Department currently has 20 faculty with research interests spanning traditional biostatistics, stochastic modeling, bioinformatics and computational biology. Methodological research interests of the faculty include analysis of large-scale datasets (e.g., from high-throughput sequencing and imaging applications), Bayesian methods, causal inference, clinical trial design, dynamic treatment regimes, longitudinal data analysis, modeling and analysis of data derived from biological and social networks, nonparametric and semiparametric inference, order-restricted inference, smoothing techniques, statistical computing, stochastic modeling of complex cell systems, and survival analysis.

Vanderbilt University